001053902 001__ 1053902
001053902 005__ 20260201202253.0
001053902 0247_ $$2doi$$a10.1093/neuonc/noaf201.0924
001053902 0247_ $$2ISSN$$a1522-8517
001053902 0247_ $$2ISSN$$a1523-5866
001053902 037__ $$aFZJ-2026-01600
001053902 082__ $$a610
001053902 1001_ $$0P:(DE-HGF)0$$aVoigtlaender, Sebastian$$b0
001053902 1112_ $$a7th Quadrennial Meeting of the World Federation of Neuro-Oncology Societies$$cHonolulu$$d2025-11-20 - 2025-11-23$$gSNO / WFNOS 2025$$wUSA
001053902 245__ $$aINNV-35. Artificial intelligence in Neuro-Oncology: Mapping the field
001053902 260__ $$c2025
001053902 3367_ $$0PUB:(DE-HGF)1$$2PUB:(DE-HGF)$$aAbstract$$babstract$$mabstract$$s1769938629_17476
001053902 3367_ $$033$$2EndNote$$aConference Paper
001053902 3367_ $$2BibTeX$$aINPROCEEDINGS
001053902 3367_ $$2DRIVER$$aconferenceObject
001053902 3367_ $$2DataCite$$aOutput Types/Conference Abstract
001053902 3367_ $$2ORCID$$aOTHER
001053902 520__ $$aAbstractBACKGROUNDArtificial intelligence (AI) is reshaping neuro-oncology research and clinical practice. This abstract summarizes key findings from a peer-reviewed review article (accepted, The Lancet Digital Health), which maps AI applications across the neuro-oncological care trajectory and critically examines major opportunities, challenges, and future directions.METHODSWe searched PubMed, ArXiv, and Google Scholar using comprehensive MeSH term-based search strings (e.g., “glioma,” “machine learning,”, “foundation model,” “omics”) from 1/1/2020–12/7/2024. Article metadata were retrieved via Python wrappers (built around PubMed and ArXiv APIs) or manually (from Google Scholar). Records were screened and deduplicated. Studies were selected based on predefined criteria, including explicit use of machine learning (ML) as a core technology, a multicentric or independent validation cohort, and high methodological rigor.RESULTSScreening of 2,675 unique records revealed that current AI-neuro-oncology literature primarily focuses on clinical neuroimaging or omics, often using radiomics, deep learning, or traditional ML, with fewer studies investigating advanced generative models. Analysis of 52 original articles meeting inclusion criteria identified robust AI applications in medical image analysis (e.g., non-invasive diagnosis and response assessment), digital neuropathology, biomarker discovery, tumor phenotyping, patient risk stratification, personalized precision treatment, and neuro-rehabilitative devices. Exploratory approaches include generalist and agentic neuro-oncology assistants, biophysical and causal models (e.g., for neural–cancer dynamics), synthetic data, and drug (target) discovery. Barriers to full integration include major data gaps, limited clinical validation of current tools, and unresolved ethical, legal, and regulatory issues.CONCLUSIONSPromising AI use cases are emerging across the neuro-oncological care trajectory, although current data, validation, and implementation gaps limit clinical deployment and scaling beyond narrowly defined tasks, particularly for advanced generalist models. Closing these gaps will require addressing data collection, standardization and annotation challenges; prioritizing rigorous prospective validation to demonstrate improved clinical outcomes; and grounding tool development in human-centred, ethical, and agile regulatory frameworks for responsible innovation.
001053902 536__ $$0G:(DE-HGF)POF4-5253$$a5253 - Neuroimaging (POF4-525)$$cPOF4-525$$fPOF IV$$x0
001053902 588__ $$aDataset connected to CrossRef, Journals: juser.fz-juelich.de
001053902 7001_ $$0P:(DE-HGF)0$$aNelson, Thomas A$$b1
001053902 7001_ $$0P:(DE-HGF)0$$aKarschnia, Philipp$$b2
001053902 7001_ $$0P:(DE-HGF)0$$aVaios, Eugene J$$b3
001053902 7001_ $$0P:(DE-HGF)0$$aKim, Michelle M$$b4
001053902 7001_ $$0P:(DE-Juel1)145110$$aLohmann, Philipp$$b5$$ufzj
001053902 7001_ $$0P:(DE-Juel1)143792$$aGalldiks, Norbert$$b6$$ufzj
001053902 7001_ $$0P:(DE-HGF)0$$aFilbin, Mariella G$$b7
001053902 7001_ $$0P:(DE-HGF)0$$aAzizi, Shekoofeh$$b8
001053902 7001_ $$0P:(DE-HGF)0$$aNatarajan, Vivek$$b9
001053902 7001_ $$0P:(DE-HGF)0$$aMonje, Michelle$$b10
001053902 7001_ $$0P:(DE-HGF)0$$aDietrich, Jorg$$b11
001053902 7001_ $$0P:(DE-HGF)0$$aWinter, Sebastian F$$b12
001053902 773__ $$0PERI:(DE-600)2094060-9$$a10.1093/neuonc/noaf201.0924$$gVol. 27, no. Supplement_5, p. v232 - v233$$x1523-5866$$y2025
001053902 8564_ $$uhttps://academic.oup.com/neuro-oncology/article/27/Supplement_5/v232/8318874
001053902 909CO $$ooai:juser.fz-juelich.de:1053902$$pVDB
001053902 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)145110$$aForschungszentrum Jülich$$b5$$kFZJ
001053902 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)143792$$aForschungszentrum Jülich$$b6$$kFZJ
001053902 9131_ $$0G:(DE-HGF)POF4-525$$1G:(DE-HGF)POF4-520$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5253$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vDecoding Brain Organization and Dysfunction$$x0
001053902 915__ $$0StatID:(DE-HGF)0420$$2StatID$$aNationallizenz$$d2024-12-11$$wger
001053902 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bNEURO-ONCOLOGY : 2022$$d2024-12-11
001053902 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2024-12-11
001053902 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2024-12-11
001053902 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2024-12-11
001053902 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2024-12-11
001053902 915__ $$0StatID:(DE-HGF)1110$$2StatID$$aDBCoverage$$bCurrent Contents - Clinical Medicine$$d2024-12-11
001053902 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2024-12-11
001053902 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2024-12-11
001053902 915__ $$0StatID:(DE-HGF)9915$$2StatID$$aIF >= 15$$bNEURO-ONCOLOGY : 2022$$d2024-12-11
001053902 9201_ $$0I:(DE-Juel1)INM-4-20090406$$kINM-4$$lPhysik der Medizinischen Bildgebung$$x0
001053902 980__ $$aabstract
001053902 980__ $$aVDB
001053902 980__ $$aI:(DE-Juel1)INM-4-20090406
001053902 980__ $$aUNRESTRICTED